ECG Signal Processing with MATLAB
MATLAB source code for ECG signal processing, including preprocessing and filtering techniques for electrocardiogram analysis
License Plate Recognition Preprocessing Using MATLAB
Preprocessing for license plate recognition in MATLAB prepares image data for subsequent recognition tasks through algorithms like edge detection and noise filtration.
Feature Extraction in Pattern Recognition or Preprocessing in Pattern Classification
Preprocessing for feature ordering before feature extraction, performing feature ranking on m*n column data, with implementations including correlation analysis, variance thresholding, and mutual information scoring algorithms for optimal feature selection in pattern recognition and classification systems.
MATLAB Implementation of Illumination Compensation Code for Face Recognition Preprocessing
Introduction to MATLAB code implementation for illumination compensation in face recognition preprocessing with enhanced algorithm explanations
MATLAB Implementation of DCT Domain Audio Watermarking
Complete source code for audio watermarking in DCT domain, including comprehensive implementation of watermark image preprocessing (2D binary image Arnold transformation, chaotic encryption, dimension reduction), watermark embedding/extraction algorithms, and performance evaluation using SNR and similarity coefficients.
Preprocessing of Mechanical Vibration Signals: Filtering and Frequency Domain Transformation
Preprocessing techniques for mechanical vibration signals including filtering methods, frequency domain transformations, and practical implementation approaches with algorithm explanations
Fingerprint Recognition Implementation with Code
This code implements fingerprint recognition through preprocessing, feature extraction, and classification algorithms using image processing and machine learning techniques.
MFCC - Mel-Frequency Cepstral Coefficients
MFCC, or Mel-Frequency Cepstral Coefficients, represent one of the fundamental features in speech signal processing that effectively models human auditory perception. The computational pipeline involves preprocessing, windowing, Fourier transformation, power spectrum calculation, natural logarithm application, and discrete cosine transform (DCT). The MATLAB implementation leverages a speech processing toolbox available for online download, with key functions including frame segmentation, FFT operations, and Mel-filterbank integration.
Complete Iris Recognition Preprocessing Framework
Comprehensive preprocessing pipeline for iris recognition system, featuring modular functions for basic image enhancement, Canny edge detection, Hough transform-based circular boundary localization (inner and outer iris boundaries), and final normalization converting circular iris rings to rectangular formats. Includes sample images and custom GUI interface - while requiring further refinement, the core preprocessing tasks are effectively implemented. Performance optimization suggestions include replacing Hough transform with least-squares fitting algorithm for improved boundary detection accuracy.
Moving Window Algorithm for Spectral Matrix Smoothing
Moving window algorithm for smoothing spectral matrices, used in preprocessing of near-infrared and other spectral data with implementation approaches